I recently did a quick language analysis of appellate case briefs to determine whether there were linguistic traits of the briefs that could be used to predict the case outcome. I collected about 100 briefs, from cases where Westlaw had both appellee and appellant briefs. Briefs were then coded by procedural posture,
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This post was inspired by the discussion about the value of research in legal academia at Workplace Prof Blog. In the comment section of the linked post you’ll see that on the one side of the issue we have individuals like Mitchell Rubenstein arguing that “teaching is only of secondary importance” to today’s legal professoriate.
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This is a preview of some work I’ve been doing recently. Using some multiplex relational information, I’ve assembled a network of the US federal government. After a bit of voodoo and some community detection algorithms, we see three communities within the federal cabinet. In the image below, node size is proportional to weighted degree, so
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At the request of @caitlinkealey I’ve given the #congress11 hashtag the same treatment as #CCA2011 and made a quick-and-dirty network graph of those using the tag. Its a big difficult to read mess, but it looks like there are two components that hold together quite well. While the divisions aren’t 100% clear, the graph seems
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As a newcomer to conference tweeting, I was interested in getting a better look at what was going on than I could get from the twitter search features. So I graphed the network of all those using the #CCA2011 hashtag. Nodes are obviously twitter users – with size relative to total degree (in+out) – and
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